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Machine Learning Software Engineer Intern Jobs in Burlington, VT

Thomson Reuters

Data Engineer

Burlington, VT · On-site

$114.90K - $138K/yr

Experience with formal SDLC (Software Development Life Cycle) procedures * Experience with version ... By fostering a culture of continuous learning and skill development, we prepare our talent to ...

Marvell

Staff DFT Engineer

Burlington, VT

... and machine learning to wired and wireless infrastructure. The Design-for-Test (DFT) team is a ... software development and programming skills. Such a candidate will enjoy an opportunity that spans ...

THOMSON REUTERS

Data Engineer

Burlington, VT · Hybrid

$114.90K - $138K/yr

Experience with version control software andmethodology, preferablyGithub About you: Preference ... By fostering a culture of continuous learning and skill development, we prepare our talent to ...

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Machine Learning Software Engineer Intern information

See Burlington, VT salary details

$13

$25

$38

How much do machine learning software engineer intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning software engineer intern in Burlington, VT is $25.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $28.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
Machine Learning Software Engineer Intern jobs near you

Senior Software Engineer, Windows/Desktop Applications - Burlington, VT, USA

Speechify

Burlington, VT

Full-time

Posted 10 days ago

Job description

Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

What You'll Do
  • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++.
  • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
  • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
  • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
  • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
  • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions.
An ideal candidate should have

Required:

  • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
  • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
  • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
  • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
  • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
  • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
  • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
  • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

  • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
  • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
  • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
  • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
  • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
  • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

  • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
  • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
  • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
  • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
  • A purpose-driven mission: building software that's reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you're a good fit for this job?

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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.